Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
Joint Authors
Liang, Dong
Cai, Nian
Zhu, Shasha
Wang, Shengru
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Compressed sensing (CS) has produced promising results on dynamic cardiac MR imaging by exploiting the sparsity in image series.
In this paper, we propose a new method to improve the CS reconstruction for dynamic cardiac MRI based on the theory of structured sparse representation.
The proposed method user the PCA subdictionaries for adaptive sparse representation and suppresses the sparse coding noise to obtain good reconstructions.
An accelerated iterative shrinkage algorithm is used to solve the optimization problem and achieve a fast convergence rate.
Experimental results demonstrate that the proposed method improves the reconstruction quality of dynamic cardiac cine MRI over the state-of-the-art CS method.
American Psychological Association (APA)
Cai, Nian& Wang, Shengru& Zhu, Shasha& Liang, Dong. 2013. Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-450624
Modern Language Association (MLA)
Cai, Nian…[et al.]. Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-450624
American Medical Association (AMA)
Cai, Nian& Wang, Shengru& Zhu, Shasha& Liang, Dong. Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-450624
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450624